Top Data Engineer Jobs in Raleigh, NC
Looking for a Senior Data Engineer to work on enhancing datasets and data products with a focus on data quality and best practices. Responsibilities include working with SQL, analyzing complex data, building ETL pipelines, collaborating with peers, and optimizing solutions. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and hands-on experience with continuous integration tools. Bachelor's degree in a technical field preferred. Unlimited paid time off and various benefits are offered. The company's mission is to provide free access to information while prioritizing consumer privacy and security.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Partner closely with product leaders to incorporate machine learning and AI into new features and enhance existing products. Grow, lead, and mentor a team of machine learning modelers, scientists, and engineers. Contribute to strategic plans and shape the company's ML and AI strategy.
Join SoFi as a Senior Data Engineer in San Francisco, CA. Responsibilities include shaping technical architecture, developing scalable data models, maintaining data pipelines, optimizing processes, and supporting data warehouse automation. Requires a Master's degree and 3 years of experience. Skills in Python, SQL, ETL/ELT Data Pipelines, Apache Kafka, and more are essential. Telecommuting is an option.
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As a Professional Services Solution Architect at Zone & Co, you will work closely with clients to ensure project success and adoption of business intelligence solutions. Responsibilities include leading consulting projects, developing reports and dashboards, training clients on Power BI, and managing a team of developers. You will also provide exceptional client service and drive business decisions through data analysis.
As a Senior or Lead Big Data DevOps Engineer, you will be working with a team responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments.
Zeta Global is seeking a Solutions Consultant to join their Data Cloud division, responsible for enabling new business development based on proprietary data assets. The role involves supporting client meetings, analyzing data sets, and developing client-facing business cases. The ideal candidate should have experience in digital marketing, analytics, and presenting to executives.
The Director of Data Intelligence at Zeta Global will lead the Data Cloud group in developing go-to-market strategies, partnering with clients and internal stakeholders, and driving innovative solutions using data insights. The role involves project management, client-facing interactions, strategy development, and cross-functional team leadership.
Design, architect, and maintain core marketing datasets, and collaborate on building a vision for data integration in marketing at Thumbtack. Help set data architecture and mentor engineers in a collaborative culture. Drive data quality and best practices across marketing areas.
As a Senior Data Intelligence Engineer at Contentful, you will ensure the delivery of trusted core business and product data to support data-driven decision-making. Responsibilities include developing and maintaining data pipelines, ETL services, and data models, as well as collaborating with business teams to provide data insights.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
Privacy Analyst role at Dropbox, responsible for supporting privacy compliance and regulatory processes. Requires basic knowledge of global privacy regulations and the ability to work with cross-functional teams to maintain industry-leading practices in protecting personal data.
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Provide technical leadership in data engineering, automate processes, maintain software quality, collaborate with stakeholders, analyze data problems, and optimize data solutions.
As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
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